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UMass Lowell机械系 全奖 招收 计算流体力学,航空声学方面的博士生2名

pinychen
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UMass Lowell机械工程系的Assoc Prof David Willis招收Aero-acoustics, computational fluid dynamics方向的博士生两名,全奖资助(含学杂费tuition and fees,生活费stipend 和 health insurance)。

职位描述请见下文。

来校时间越快越好,有相应背景的同学请尽快联系。春季开学也来得及的哦!
可直接发电子邮件到 David_Willis@uml.edu,附上a short CV/Resume and a short statement highlighting your interest andexperience.

PhD Assistantship Opening # 1: Computational Aero-Acoustics (CAA)

Type of position: PhD Thesis

Support: 50% RA (NSF), 50% TA

Project Duration: ~3 years

Funding: NSF Funded, Competitive Stipend



The researcher in this position will develop and use computational aero-acoustics simulation tools to perform CAA simulations/predictions. Coupled fluid-acoustic and/or high-fidelity predictive tools for aero-acoustics prediction will be considered/developed/used in this research.



The ideal candidate will have a strong interest in scientific computing, aerodynamics and/or aero-acoustics. Background/experience in computer programming using compiled languages (Fortran, C, C++, other) and numerical methods for PDEs (boundary/finite element, finite difference and/or finite volume) and/or prior experience using CFD/CAA tools is strongly preferred. Parallel computing experience is advantageous, but not required.



PhD Assistantship Opening # 2: Computational Fluid Structure Interaction

Type of position: PhD Thesis

Support: 100% RA

Project Duration: ~3 years

Funding: NSF Funded



The researcher in this position will develop and use computational tools to assess problems with strong fluid structure interaction in low Reynolds number aerodynamics flows. Low-fidelity 'computational aerodynamics' tools and/or higher fidelity CFD tools may be considered, developed and/or used.



The ideal candidate will have a strong interest in scientific computing, aerodynamics and/or aero-elasticity. Background/experience in computer programming (Fortran, C, C++, other) and numerical methods for PDEs (boundary element and/or DG-FEM) and/or prior experience using CFD/FSI tools is strongly preferred. Parallel computing experience is advantageous, but not required.



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David J. Willis

Associate Professor of Mechanical Engineering

University of Massachusetts Lowell

(978)934-3101

David_Willis@uml.edu

http://faculty.uml.edu/dwillis/
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